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DELETE requires a shared table lock; Triggers fire; DELETE can be used in the case of: database link; DELETE returns the number of records deleted; Transaction log - DELETE needs to read records, check constraints, update block, update indexes, and generate redo / undo. All of this takes time, hence it takes time much longer than with TRUNCATE
Power Query was first announced in 2011 under the codename "Data Explorer" as part of Azure SQL Labs. In 2013, in order to expand on the self-service business intelligence capabilities of Microsoft Excel, the project was redesigned to be packaged as an add-in Excel and was renamed "Data Explorer Preview for Excel" [4], and was made available for Excel 2010 and Excel 2013. [5]
A time limit or deadline is a narrow field of time, or a particular point in time, by which an objective or task must be accomplished. Once that time has passed, the item may be considered overdue (e.g., for work projects or school assignments). In the case of work assignments or projects that are not completed by the deadline, this may ...
The first version of Microsoft Schedule+ as bundled with version 3.0 of the Microsoft Mail email client will refuse to work [needs update] with years greater than 2020 or beyond, due to the fact that the program was designed to operate within a 100-year time window ranging from 1920 to 2019. As a result, the date can only be set as high as 31 ...
Another notable feature is the re-use of the same clauses for different commands. For example, the FOR clause limits the scope of a given command. (It is somewhat comparable to SQL's WHERE clause.) Different commands such as LIST, DELETE, REPLACE, BROWSE, etc. could all accept a FOR clause to limit (filter) the scope of their activity.
The data complexity is the computational complexity when the query is fixed and when the input is just the database. For instance, we say that query evaluation has polynomial-time data complexity for a class of queries if, for every fixed query Q in that class, given a database D, we can compute the answers to Q on D in polynomial time.
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It has been claimed that for complex queries OLAP cubes can produce an answer in around 0.1% of the time required for the same query on OLTP relational data. [9] [10] The most important mechanism in OLAP which allows it to achieve such performance is the use of aggregations.